Tracking Resilience to Infections by Mapping Disease Space.
Infected hosts differ in their responses to pathogens; some hosts are resilient and recover their original health, whereas others follow a divergent path and die. To quantitate these differences, we propose mapping the routes infected individuals take through "disease space." We find that...
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2016-04-01
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doaj-416477899d5241109ed8810b2d51ded32021-07-02T06:05:43ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852016-04-01144e100243610.1371/journal.pbio.1002436Tracking Resilience to Infections by Mapping Disease Space.Brenda Y TorresJose Henrique M OliveiraAnn Thomas TatePoonam RathKatherine CumnockDavid S SchneiderInfected hosts differ in their responses to pathogens; some hosts are resilient and recover their original health, whereas others follow a divergent path and die. To quantitate these differences, we propose mapping the routes infected individuals take through "disease space." We find that when plotting physiological parameters against each other, many pairs have hysteretic relationships that identify the current location of the host and predict the future route of the infection. These maps can readily be constructed from experimental longitudinal data, and we provide two methods to generate the maps from the cross-sectional data that is commonly gathered in field trials. We hypothesize that resilient hosts tend to take small loops through disease space, whereas nonresilient individuals take large loops. We support this hypothesis with experimental data in mice infected with Plasmodium chabaudi, finding that dying mice trace a large arc in red blood cells (RBCs) by reticulocyte space as compared to surviving mice. We find that human malaria patients who are heterozygous for sickle cell hemoglobin occupy a small area of RBCs by reticulocyte space, suggesting this approach can be used to distinguish resilience in human populations. This technique should be broadly useful in describing the in-host dynamics of infections in both model hosts and patients at both population and individual levels.http://europepmc.org/articles/PMC4835107?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Brenda Y Torres Jose Henrique M Oliveira Ann Thomas Tate Poonam Rath Katherine Cumnock David S Schneider |
spellingShingle |
Brenda Y Torres Jose Henrique M Oliveira Ann Thomas Tate Poonam Rath Katherine Cumnock David S Schneider Tracking Resilience to Infections by Mapping Disease Space. PLoS Biology |
author_facet |
Brenda Y Torres Jose Henrique M Oliveira Ann Thomas Tate Poonam Rath Katherine Cumnock David S Schneider |
author_sort |
Brenda Y Torres |
title |
Tracking Resilience to Infections by Mapping Disease Space. |
title_short |
Tracking Resilience to Infections by Mapping Disease Space. |
title_full |
Tracking Resilience to Infections by Mapping Disease Space. |
title_fullStr |
Tracking Resilience to Infections by Mapping Disease Space. |
title_full_unstemmed |
Tracking Resilience to Infections by Mapping Disease Space. |
title_sort |
tracking resilience to infections by mapping disease space. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Biology |
issn |
1544-9173 1545-7885 |
publishDate |
2016-04-01 |
description |
Infected hosts differ in their responses to pathogens; some hosts are resilient and recover their original health, whereas others follow a divergent path and die. To quantitate these differences, we propose mapping the routes infected individuals take through "disease space." We find that when plotting physiological parameters against each other, many pairs have hysteretic relationships that identify the current location of the host and predict the future route of the infection. These maps can readily be constructed from experimental longitudinal data, and we provide two methods to generate the maps from the cross-sectional data that is commonly gathered in field trials. We hypothesize that resilient hosts tend to take small loops through disease space, whereas nonresilient individuals take large loops. We support this hypothesis with experimental data in mice infected with Plasmodium chabaudi, finding that dying mice trace a large arc in red blood cells (RBCs) by reticulocyte space as compared to surviving mice. We find that human malaria patients who are heterozygous for sickle cell hemoglobin occupy a small area of RBCs by reticulocyte space, suggesting this approach can be used to distinguish resilience in human populations. This technique should be broadly useful in describing the in-host dynamics of infections in both model hosts and patients at both population and individual levels. |
url |
http://europepmc.org/articles/PMC4835107?pdf=render |
work_keys_str_mv |
AT brendaytorres trackingresiliencetoinfectionsbymappingdiseasespace AT josehenriquemoliveira trackingresiliencetoinfectionsbymappingdiseasespace AT annthomastate trackingresiliencetoinfectionsbymappingdiseasespace AT poonamrath trackingresiliencetoinfectionsbymappingdiseasespace AT katherinecumnock trackingresiliencetoinfectionsbymappingdiseasespace AT davidsschneider trackingresiliencetoinfectionsbymappingdiseasespace |
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